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Sr. Data Engineer with Data Vault Experience
Actively Reviewing
Cittabase Solutions
Job Description
About Cittabase
Project Location(s): Chennai, TN, India
Education: Professional Degree
Job Description
We are looking for a Sr. Data Engineer with strong hands-on Data Vault 2.0 modelling and design experience, advanced SQL skills, and solid data warehousing fundamentals. The role requires practical experience with the GCP stack (BigQuery, Dataflow, Cloud Composer) and strong exposure to Dataplex. Candidates should be proficient in taxonomy, ontology, and designing agile data models that separate and organize data domains effectively.
Responsibilities
Location: Chennai
Employment Type: Full-time
Qualifications
- Company overview
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Project Location(s): Chennai, TN, India
Education: Professional Degree
Job Description
We are looking for a Sr. Data Engineer with strong hands-on Data Vault 2.0 modelling and design experience, advanced SQL skills, and solid data warehousing fundamentals. The role requires practical experience with the GCP stack (BigQuery, Dataflow, Cloud Composer) and strong exposure to Dataplex. Candidates should be proficient in taxonomy, ontology, and designing agile data models that separate and organize data domains effectively.
Responsibilities
- Design and implement Data Vault 2.0 models (Hubs, Links, Satellites) using best practices.
- Define and maintain taxonomy and ontology frameworks for domain separation and agility.
- Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer.
- Implement governance, classification, quality rules, and lineage using Dataplex.
- Develop complex SQL transformations and optimize performance for analytical workloads.
- Collaborate with architecture, product, and analytics teams to deliver governed, scalable data models.
Location: Chennai
Employment Type: Full-time
Qualifications
- 6+ years of experience in data engineering, data warehousing, or analytics engineering roles.
- Strong hands-on experience in Data Vault modelling & design.
- Advanced SQL skills and strong data warehousing fundamentals.
- Practical experience with GCP BigQuery, Dataflow, Cloud Composer, and Dataplex.
- Knowledge of taxonomy, ontology, and metadata-driven modelling practices.
- Exposure to Workday data structures and HR/People Analytics domain understanding.
- Exposure to dbt, Snowflake, or Databricks.
- Familiarity with CI/CD and cloud-native engineering best practices.
- Good analytical, problem-solving, and collaboration skills.
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